For solving decision problem about liquid cargo replenishment scheme, the mathematic model of scheme-decision problem is built based on weighting method. In order to simplify the model, the multi-objective problem (MOP) can be change into a single objective problem (SOP). The weight matrix of three sub-object is determined through analysis hierarchy process (AHP). Permutation and combination method is used to find all possible replenishment schemes and technique for order preference by similarity to an ideal solution (TOPSIS) theory and particle swarm optimization (PSO) algorithm are taken into the mathematic model to calculate best solutions from possible replenishment schemes respectively. The simulated numerical results indicate that the effectiveness of mathematic model and reliability of algorithm proposed in this paper, also can improve efficiency and security of liquid cargo replenishment.
DENG Wei
,
HAN Duanfeng
,
YAO Jingzheng
,
JIN Xin
. Multi-objective decision-making methed in liquid cargo replenishment schemes[J]. Science & Technology Review, 2016
, 34(18)
: 293
-298
.
DOI: 10.3981/j.issn.1000-7857.2016.18.041
[1] 余建星, 顾鹏. 海上液货补给技术[J]. 海洋技术, 2005, 24(4):103-106. Yu Jianxing, Gu Peng. The technique of liquid cargo supplying on the sea[J]. Ocean Technology. 2005, 24(4):103-106.
[2] 何林. 补给航行中大型船舶受力分析及对航行性能的影响[D]. 哈尔滨:哈尔滨工程大学, 2009. He Lin. Mechanics analysis of large marine and effect on navigation performance in underway replenishment[D]. Harbin:Harbin Engineering University, 2009.
[3] 卫天. 突破远洋的束缚中国远洋补给能力及未来发展[J]. 中国海军, 2010, 10(1):20-35. Wei Tian. The PLA-Navy's deep-sea replenishment capability and its future[J]. The Chinese PLA-Navy, 2010, 10(1):20-35.
[4] 王照宁. 集装箱船舶自动配载系统管理模型的建立与研究[J]. 大连海运学院学报, 1994, 20(2):70-84 Wang Zhaoning. A study at the manage-model of container Ship's automatic load plan[D]. Journal of Dalian Marine College, 1994, 20(2):70-84.
[5] 孙一方. 基于NURBUS技术的散货船配载仪设计[D]. 哈尔滨:哈尔滨工程大学, 2012. Sun Yifang. Design of the bulk carrier loading software based on NURBS technology[D]. Harbin:Harbin Engineering University, 2012.
[6] Kennedy J, Eberhart R C. Particle swarm optimization[J]. Proceedings of IEEE International Conference on Neural Networks, 1995(4):1942-1948.
[7] 崔逊学. 多目标进化算法及其应用[M]. 北京:国防工业出版社, 2006. Cui Xunxue. Multi-objective evolutionary algorithm and application[M]. Beijing:National Defense Industry Press, 2006.
[8] Eberhart R C, Kennedy J. A New optimizer using particle swarm[J]. Proceedings of the Sixth International Symposium on Micro Machine and Human Science, 1995, 1:39-43.
[9] 刘璘. 基于粒子群算法的多目标函数优化问题研究[D]. 武汉:武汉理工大学, 2005. Liu Lin. Research on multi-objective optimal based on PSO algorithm[D]. Wuhan:Wuhan University of Technology, 2005.
[10] Jiang M, Luo Y P, Yang S Y. Stochastic convergence analysis and parameter selection of the standard particle swarm optimization algorithm[J]. Information Processing Letters, 2007, 102(1):8-16.
[11] 杨保安, 张科静. 多目标决策分析理论、方法与应用研究[M]. 上海:东华大学出版社, 2008. Yang Bao'an, Zhang Jingke. Research on multi-objective decision analysis theories, methods and application[M]. Shanghai:Donghua University Press, 2008.
[12] 杨彩虹. 船用装载仪相关技术的研究与开发[D]. 哈尔滨:哈尔滨工程大学, 2009. Yang Caihong. Research and development of loading computer for ships[D]. Harbin:Harbin Engineering University, 2009.
[13] 刘文艳. 综合试验舰浮辅助决策系统研发[D]. 镇江:江苏科技大学, 2012. Liu Wenyan. Research on the decision system of ship's buoyancy[D]. Zhenjiang:Jiangsu University of Science and Technology, 2012
[14] 杨代盛. 船体强度与结构设计[M]. 上海:上海交通大学出版社, 1992. Yang Shengdai. Strength and structure design of ship[M]. Shanghai:Shanghai Jiao Tong University Press, 1992.
[15] 黄胜, 任万龙, 王超, 等. 多目标粒子群算法在翼型优化的应用[C]. 第二十五届全国水动力学研讨会暨第十二届全国水动力学学术会议, 2013:185-189. Huang Sheng, Ren Wanlong, Wang Chao, et al. The application of multi-objective particle swarm algorithm in hydrofoil optimization[C]. Proceedings of the 25th National Conference on Hydrodynamics & 12th National Congress on Hydrodynamics, 2013:185-189.
[16] 张成静. 康复训练中的排列组合原理与潜力分析[J]. 数理医药学杂志, 2013, 26(1):110-111. Zhang Chengjing. The principle and potential analysis of permutation and combination in rehabilitation training[J]. Journal of Mathematical Medicine. 2013, 26(1):110-111.
[17] 王莹. 基于粒子群优化算法的无功优化及规划[D]. 天津:天津大学, 2005. Wang Ying. Reactive power optimization and planning based on particle swarm optimization algorithm[D]. Tianjin:Tianjin University, 2005.